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High-performance Algorithmic Trading using Machine Learning: Building automated trading strategies with AutoML and feature engineering by Franck Bardol at Abbey's Bookshop,
High-performance Algorithmic Trading using Machine Learning: Building automated trading strategies with...
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Franck Bardol

High-performance Algorithmic Trading using Machine Learning

Building automated trading strategies with AutoML and feature engineering

Franck Bardol

$88.95   $75.88

Paperback

Not in-store but you can order this
How long will it take?
English
BPB Publications
30 June 2025
Computing & IT
This book is a practitioner’s blueprint for building production-grade ML trading systems from scratch. It goes far beyond basic return-sign classification tasks, which often fail in live markets, and delivers field-tested techniques used inside elite quant desks. It covers everything from the fundamentals of systematic trading and ML's role in detecting patterns to data preparation, backtesting, and model lifecycle management using Python libraries. You will learn to implement supervised learning for advanced feature engineering and sophisticated ML models. You will also learn to use unsupervised learning for pattern detection, apply ultra-fast pattern matching to chartist strategies, and extract crucial trading signals from unstructured news and financial reports. Finally, you will be able to implement anomaly detection and association rules for comprehensive insights.
By:  
Imprint:   BPB Publications
Dimensions:   Height: 235mm,  Width: 191mm, 
ISBN:   9789365893892
ISBN 10:   9365893895
Pages:   340
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Franck Bardol is an AI professor, senior consultant, and expert advisor in generative AI and machine learning with over two decades of experience in the intersection of quantitative finance, applied research, and data science.

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